Auroral Image Classification With Deep Neural Networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Auroral Image Classification With Deep Neural Networks

Published:2020-10 Issue:10 Volume:125 Page:
ISSN:2169-9380
Container-title:Journal of Geophysical Research: Space Physics
language:en
Short-container-title:J. Geophys. Res. Space Physics

Author:

Kvammen Andreas¹^ORCID,Wickstrøm Kristoffer¹^ORCID,McKay Derek²³^ORCID,Partamies Noora⁴⁵^ORCID

Affiliation:

1. Department of Physics and Technology UiT‐The Arctic University of Norway Tromsø Norway

2. NORCE Norwegian Research Centre AS Tromsø Norway

3. Finnish Centre for Astronomy with ESO, FINCA University of Turku Turku Finland

4. Department of Arctic Geophysics The University Centre in Svalbard Longyearbyen Norway

5. Birkeland Centre for Space Science Bergen Norway

Funder

Academy of Finland

Norges Forskningsråd

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020JA027808

Reference42 articles.

1. Proceedings of Machine Learning Research;Balduzzi D.,2017

2. International Auroral Atlas. Published For the International Union of Geodesy & Geophysics, Edinburgh (University Press), 1963. Pp. 17; 2 Figures; 52 Black and White, 4 Colour Plates. 45s.

3. Automatic Classification of Auroral Images From the Oslo Auroral THEMIS (OATH) Data Set Using Machine Learning

4. Support-vector networks

5. Histograms of Oriented Gradients for Human Detection

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Auroral Image Classification Based on Second-Order Convolutional Network and Channel Attention Awareness;Remote Sensing;2024-08-28

2. Complexity Heliophysics: A Lived and Living History of Systems and Complexity Science in Heliophysics;Space Science Reviews;2024-07-04

3. Optimizing a deep learning framework for accurate detection of the Earth’s ionospheric plasma structures from all-sky airglow images;Advances in Space Research;2024-06

4. Classification of Ground‐Based Auroral Images by Learning Deep Tensor Feature Representation on Riemannian Manifold;Journal of Geophysical Research: Machine Learning and Computation;2024-06

5. Machine Learning Based Modeling of Thermospheric Mass Density;Space Weather;2024-04-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3